Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms

Cybersecurity researchers are warning about the security risks in the machine learning (ML) software supply chain following the discovery of more than 20 vulnerabilities that could be exploited to target MLOps platforms. These vulnerabilities, which are described as inherent- and implementation-based flaws, could have severe consequences, ranging from arbitrary code execution to loading

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What Is Attack Surface Management?

Attack surfaces are growing faster than security teams can keep up – to stay ahead, you need to know what’s exposed and where attackers are most likely to strike. With cloud adoption dramatically increasing the ease of exposing new systems and services to the internet, prioritizing threats and managing your attack surface from an attacker’s perspective has never been more important. In this Posted from: Click here for the full article .
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Meta Warns of FreeType Vulnerability (CVE-2025-27363) With Active Exploitation Risk

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High-Severity Flaw in PostgreSQL Allows Hackers to Exploit Environment Variables

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